I have installed Python 3 using Anaconda and I need to install the Swampy module. Could you please advice me on how to proceed?
I could not find a conda package for it. So use pip:
pip install swampy
works also with Anaconda installed Python.
The installer conda that comes with Anaconda knows about the newly installed package:
conda list
....
swampy 2.1.7 <pip>
Related
How can I install TensorFlow-gpu 1.0.0 using conda.
I already have Python 3.5 and CUDA 8 but I am not able to find TensorFlow-gpu 1.0.0 with Pip or conda
Any solutions ?
You can install with pip install tensorflow-gpu==1.0.0. Also, if "pip solution" does not work you can download the wheel from here.
Recently, I upgraded to Anaconda3 2020.07 which uses python 3.8. In past versions of anaconda, tensorflow was installed successfully. Tensorflow failed to be installed successfully in this version.
I ran the command below;
conda install tensorflow-gpu
The error message that I received is shown below;
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- tensorflow-gpu -> python[version='3.5.*|3.6.*|3.7.*|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|>=2.7,<2.8.0a0']
Your python: python=3.8
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
The following specifications were found to be incompatible with your CUDA driver:
- feature:/win-64::__cuda==11.0=0
Your installed CUDA driver is: 11.0
Is there a conda command with the right parameters to get tensorflow installed successfully?
UPDATE:
TF is now compatible with Python 3.8
Tensorflow is not compatible with Python 3.8. See https://www.tensorflow.org/install/pip
You need to downgrade your python version :
conda install python=3.7
Create an environment with python 3.7 and then activate it:
conda create -n p37env python=3.7
conda activate p37env
And install tensorflow.
This worked for me, and found out the answer from the Anaconda user guide (under how to use a different python version: https://conda.io/projects/conda/en/latest/user-guide/getting-started.html#managing-python )
From the requirement page:
Python 3.8 support requires TensorFlow 2.2 or later.
So there is a verison of Tensorflow compatible with python 3.8.
The problem is that TensorFlow 2.2.0 is not available through conda on Windows, this should be the reason why you get PackagesNotFoundError when running
conda install tensorflow=2.2
EDIT 15/03/21
Tensorflow 2.3.0 is compatible with Windows
i think we have two options here
pip install tensorflow
or we can use another env of anaconda such as like this below
conda create -n tf tensorflow pydotplus jupyter
conda activate tf
Actually you can directly use pip inside anaconda prompt, after I tested it, I found the conda is capable with pypi, first run the anaconda prompt with administrator permission (in windows), then enter "conda update --all" to make sure all the packages are latest, finally enter "pip install tensorflow" to install (the new version of tensorflow already includes tensorflow-gpu).
Then using VS code to open an ipynb and run
import tensorflow as tf
tf.test.gpu_device_name()
everything looks good.
For more info please refer to Anaconda official docs: https://docs.anaconda.com/anaconda/ .
Latest development for tensorflow installation on anaconda.
https://anaconda.org/anaconda/tensorflow
https://anaconda.org/anaconda/tensorflow-gpu
9 days ago, Anaconda uploaded a new tensorflow v2.3 package. Anaconda3 2020.07 (uses python v3.8) users can easily upgrade to tensorflow v2.3 with the following commands;
conda install -c anaconda tensorflow
conda install -c anaconda tensorflow-gpu
I have personally tested that the installation worked successfully.
The other answers for this question have now become obsolete.
Expanding upon William's answer here with more explicit instructions and caveats. Pip is the recommended way to install latest version of tensorflow as per tensorflow's installation instructions -- "While the TensorFlow provided pip package is recommended, a community-supported Anaconda package is available."
Here is the code that uses pip to do the installation in a Conda environment:
conda create -n env_name python=3.8
conda activate env_name
conda install pandas scikit-learn matplotlib notebook ##installing usual Data Science packages that does include numpy and scipy
pip install tensorflow
python -c "import tensorflow as tf;print(tf.__version__)" ##checks tf version
In general, we should be careful while mixing two package managers (conda and pip). So, it is suggested that:
Only after conda has been used to install as many packages as possible
should pip be used to install any remaining software. If modifications
are needed to the environment, it is best to create a new environment
rather than running conda after pip.
For an example, if we would like to install seaborn in the just created env_name environment, we should:
conda create --name cloned_env --clone env_name
conda activate cloned_env
conda install seaborn
Once we check the cloned_env environment is working fine, we can delete the env_name environment.
I was running into the same issue in conda prompt for Python 3.8.5 and fixed it using a Python wheel instead. Here are the steps:
Open conda prompt and install pip if you don't have it already: python -m pip install --upgrade pip
python -m pip install --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-2.4.0-cp38-cp38-win_amd64.whl
Note: If you need a CPU specific tensorflow, use this wheel: https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow_cpu-2.4.0-cp38-cp38-win_amd64.whl
I just downgraded python to 3.7 as tf is not avialable to 3.8 version also I cannot use virtualenv for code that's why
The only working answer for me is:
conda install -c conda-forge tensorflow
It appears that tensorflow 2.5 on GPU has issues with spyder. So, I made new environment and installed tensorflow gpu as suggested by anaconda. Now I have to use either prompt or jupyter . At least it works
For macos users I suggest create an environment with python 3.7 and install tensorflow there.
You can run these commands too:
conda create -n new_env_name python=3.7
conda activate new_env_name
I had a similar problem in Anaconda Spyder. Here was my solution (In the Anaconda Console):
conda install pip
pip install tensorflow ==2.2.0
Tried to install with this command but still didn't work-> conda install -c peterjc123 pytorch=0.1.12
Also tried installing using this command:
conda install pytorch=0.1.12 -c pytorch
How can it be installed with python anaconda 3.6?
First of all, make sure that Python 3.5 or later is installed as well.
Go to this link and download "pytorch-0.1.12-py36_0.1.12cu80.tar.bz2".
Now navigate to the downloaded file and install it through Anaconda console conda install [path to file]/pytorch-0.1.12-py36_0.1.12cu80.tar.bz2
Note:
If it requires some additional modules, use conda or pip to install those addition modules via:
conda install (module)
or
pip install (module)
Can someone help me in installing python package "Prophet" on windows 10 .
I tried installing python 3.5 and the dependency 'pystan' but yet I get below error.
"The package setup script has attempted to modify files on your system that are not within the EasyInstall build area, and has been aborted.This package cannot be safely installed by EasyInstall, and may not support alternate installation locations even if you run its setup script by hand.Please inform the package's author and the EasyInstall maintainers to find out if a fix or workaround is available.
Command "python setup.py egg_info" failed with error code 1 in c:\users\suman\appdata\local\temp\pip-build-aqoiqs\fbprophet\"`
I spent a good two days on this issue, finally, I found the following solution
1) Download and install Anaconda 3 (for python 3.6)
2) Create an environment and call it whatever you like
3) Run that environment (which will open the command prompt)
4) follow the following steps in command prompt : (commands are shown in bold)
python -m pip install -U pip
Requirement already up-to-date: pip in c:\users\william\anaconda3\envs\testtime\lib\site-packages
conda install -c conda-forge pystan
Fetching package metadata ...............
Solving package specifications: .
Package plan for installation in environment C:\Users\William\Anaconda3\envs\Testtime:
The following NEW packages will be INSTALLED:
backports: 1.0-py36_1 conda-forge
backports.functools_lru_cache: 1.4-py36_1 conda-forge
ca-certificates: 2017.11.5-0 conda-forge
cycler: 0.10.0-py36_0 conda-forge
cython: 0.27.3-py36_0 conda-forge
freetype: 2.7-vc14_1 conda-forge [vc14]
icc_rt: 2017.0.4-h97af966_0
icu: 58.2-vc14_0 conda-forge [vc14]
intel-openmp: 2018.0.0-hd92c6cd_8
jpeg: 9b-vc14_2 conda-forge [vc14]
libpng: 1.6.34-vc14_0 conda-forge [vc14]
matplotlib: 2.1.0-py36_0 conda-forge
mkl: 2018.0.1-h2108138_4
numpy: 1.13.3-py36ha320f96_0
openssl: 1.0.2m-vc14_0 conda-forge [vc14]
pyparsing: 2.2.0-py36_0 conda-forge
pyqt: 5.6.0-py36_4 conda-forge
pystan: 2.17.0.0-py36_vc14_0 conda-forge [vc14]
python-dateutil: 2.6.1-py36_0 conda-forge
pytz: 2017.3-py_2 conda-forge
qt: 5.6.2-vc14_1 conda-forge [vc14]
sip: 4.18-py36_1 conda-forge
six: 1.11.0-py36_1 conda-forge
tornado: 4.5.2-py36_0 conda-forge
zlib: 1.2.11-vc14_0 conda-forge [vc14]
pip install fbprophet
I also had several issues installing prophet on my Windows 10 machine using conda and Python 3.7.
The following steps made it work:
Create a fresh conda environment
Install pystan and other dependencies using conda install numpy cython matplotlib scipy pandas -c conda-forge (see https://pystan2.readthedocs.io/en/latest/windows.html#steps)
Install prophet using conda install prophet -c conda-forge
In then still had a numpy error Importing the numpy c-extensions failed... as described here: https://numpy.org/devdocs/user/troubleshooting-importerror.html But this was due to my IDE which is VS Code as I could successfully run my prohet model using the command line with the activated conda environment.
So please also make sure to test the installation from the command line in order to rule out that the error stems from you IDE.
Not sure if the same trick would work on Windows, anyways posting w.r.t what just worked on RHEL 7, f.w.i.w
Motivation was installing fbprophet using conda:
conda install -c conda-forge fbprophet
and, it could install pystan==2.17.1.0 and fbprophet==0.6
So, the trick was:
uninstall the pystan package when you had earlier run pip3 install fbprophet, basically one needs to execute the following:
pip3 install pystan==2.17.1.0
pip3 install fbprophet==0.6
And one can thereby import fbprophet in python3 terminal, so working :)
I currently have a fairly vanilla install of Python 3.5 on my Windows 10 machine that I setup using Anaconda.
I was able to install Prophet using the below command, that might work for you. Depending on how your installed Python you may need to run the below command in a cmd shell that was opened as administrator.
pip install prophet
Whenever I have tried to install fbprophet package multiple issues have come.I will suggest a few steps, hopefully they should work.
Close all existing Python / R running instances. If possible restart the machine. I have seen to work as few libraries / dependencies which I want to update might be getting used by existing running instances.
Use anaconda prompt.
First install pystan -
`conda install pystan`
Now install fbprophet
'conda install -c conda-forge fbprophet
Hopefully it should work for you. Also, ensure you have admin rights.
I faced the same issue and my solution was to:-
Create a new environment with Python3.5
conda create -n pht python=3.5 anaconda
Install Prophet using the command.
conda install -c conda-forge fbprophet
I didn't install 'gcc' although this was advised before installing Prophet.
The installation went fine, except for the last three packages:
mrjob, pattern, and seaborn
I was able to install these from a terminal, however they installed into my old Python environment and not into the anaconda environment. How can I install these packages into my anaconda environment?
Those packages are not available in Anaconda. So you need to use the pip command to install them. The package will be installed in your active conda environment.
pip install mrjob
Use conda to install them. For mrjob and pattern, you may need find them on Binstar. It looks like conda install -c chdoig -c nbsantos mrjob pattern seaborn should work.
If you installed Python environment uses Anaconda, then you should do this command
conda install -c conda-forge -n [your-env-name] mrjob.
It would take mrjob packages from conda-forge repository.